Evidence map›Paper›PMID 36144063›Full record

ArticleMicromachines2022

Microsystem Nodes for Soil Monitoring via an Energy Mapping Network: A Proof-of-Concept Preliminary Study.

Anna Sabatini, Alfiero Leoni, Gil Goncalves, Alessandro Zompanti, Marco V Marchetta, Paulo Cardoso, Simone Grasso, Maria Vittoria Di Loreto, Francesco Lodato, Costanza Cenerini and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Anna SabatiniUnit of Computational Systems and Bioinformatics, Department of Engineering, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0002-6206-5366
Alfiero LeoniDepartment of Industrial and Information Engineering, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-0066-4216
Gil GoncalvesCentre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-2302-9661
Alessandro ZompantiUnit of Electronics for Sensor Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0001-5986-4426
Marco V MarchettaUnit of Electronics for Sensor Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Paulo CardosoDepartment of Biology & CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-1234-5861
Simone GrassoUnit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, 00128 Rome, Italy.ORCID 0000-0003-0507-7966
Maria Vittoria Di LoretoUnit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Francesco LodatoUnit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Costanza CeneriniUnit of Electronics for Sensor Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Etelvina FigueraDepartment of Biology & CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-6763-2665
Giorgio PennazzaUnit of Electronics for Sensor Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0003-4843-9445
Giuseppe FerriDepartment of Industrial and Information Engineering, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-8060-9558
Vincenzo StornelliDepartment of Industrial and Information Engineering, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0001-7082-9429
Marco SantonicoUnit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, 00128 Rome, Italy.

Funding

CESAM and to FCT/MCTES UIDP/50017/2020+UIDB/50017/2020Fundação para a Ciência e Tecnologia (FCT) for the Programme Stimulus of Scientific Employ-ment -Individual Support CEECIND/01913/2017Italian Ministry of University and Research PON "Ricerca e Innovazione" 2014-2020
6 · The paper itself

Abstract

The need for accurate information and the availability of novel tool and technological advances in agriculture have given rise to innovative autonomous systems. The aim is to monitor key parameters for optimal water and fertilizer management. A key issue in precision agriculture is the in situ monitoring of soil macronutrients. Here, a proof-of-concept study was conducted that tested two types of sensors capable of capturing both the electrochemical response of the soil and the electrical potential generated by the interaction between the soil and plants. These two sensors can be used to monitor large areas using a network approach, due to their small size and low power consumption. The voltammetric sensor (BIONOTE-L) proved to be able to characterize different soil samples. It was able, indeed, to provide a reproducible voltammetric fingerprint specific for each soil type, and to monitor the concentration of CaCl

Indexed as

microbial fuel cellprecision agriculturesoil monitoringvoltammetric sensors

Identifiers

PMID36144063
PMCPMC9504616

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.